Methods for Correlation Analysis

Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem.


Reference manual

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0.7.1 by Brenton M. Wiernik, 2 months ago

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Browse source code at

Authors: Dominique Makowski [aut, inv] , @Dom_Makowski) , Brenton M. Wiernik [aut, cre] , @bmwiernik) , Indrajeet Patil [aut] , @patilindrajeets) , Daniel L├╝decke [aut] , @strengejacke) , Mattan S. Ben-Shachar [aut] , @mattansb) , Mark White [rev] , Maximilian M. Rabe [rev]

Documentation:   PDF Manual  

GPL-3 license

Imports bayestestR, datasets, datawizard, insight, parameters, stats

Suggests BayesFactor, dplyr, energy, forcats, ggcorrplot, ggplot2, gt, Hmisc, knitr, lme4, mbend, polycor, ppcor, psych, rmarkdown, rmcorr, rstanarm, see, spelling, testthat, tidyr, wdm, WRS2

Imported by ggstatsplot, statsExpressions.

Suggested by effectsize, modelbased, performance, psycModel, see.

See at CRAN